(1) Smart manufacturing engineers will learn leading artificial intelligence manufacturing technologies worldwide.

(2) Big data analysis, improving production efficiency: Through data analysis, identify bottleneck machines and improve machine production efficiency. Breakthrough analysis and dispatching project system, optimize production resources and maximize manufacturing efficiency.

(3) Machine learning, creating unlimited possibilities: Utilize cutting-edge machine learning technology to improve the production process and create innovative applications that achieve optimal scheduling and maximize wafer production capacity.

(1) Software Developers:

Design and develop intelligent manufacturing solutions for factory automation, manufacturing scheduling and dispatching, decision making and engineering analysis.

(2) Dispatching Algorithm Developers:

Heterogeneous data integration and corresponding solution design and development.

(3) Quality Management Engineer:

Server maintenance and related setting support including routine upgrades, troubleshooting with AP teams, high-availability architecture, virtual machines solutions, firewall rule, IIS, Nginx, database middle etc.

(1) Application of statistics, machine learning, data mining, pattern recognition and other data analysis by AI techniques.

(2) Your main responsibility will be to collect, explore, and extract insights from very large scale structured and unstructured data and explain these insights with the help of data visualization tools to support fab operations.

(1) AMHS (Software) system & AI development/(Hardware) layout design & transport simulation.

(2) Enhance System Performance, Quality and Reliability.

(3) Coordinate cross-organization AMHS projects.

(1) New WAT tool data matching and release.

(2) WAT quality/manufacturing efficiency improvement.

(3) WAT tool, recipe, and system management.

(4) WAT productivity and quality improvement.

(5) WAT tool and systematic issue troubleshooting.

(1) Handle mask tapeout and manufacturing flow creation.

(2) Manage projects related to NTO system development and enhancement.

(1) Manage audit, defense, and quality systems.

(2) To perform data analysis and simulation.

(1) Teamwork, and text expression ability.

(2) Basic programming languages (such as C++, SQL, etc.).

(1) Bachelor's degree or above in Computer Science, Information Engineering, Industrial Engineering, Statistics, Mathematics or related fields.

(2) Familiarity in programming languages (C/C++/C#, Java, HTML5, SQL, VBA).

(3) Experience and skill in optimization, scheduling and A.I. is a plus.

(4) Experience and skill in system infrastructure architecture is a plus (e.g. VMWare, Linux/MS solution, Nginx, K8S/Docker etc.).

(1) Master's degree or above in Computer Science, Information Engineering, Industrial Engineering, Statistics, Mathematics or related fields.

(2) Experience with analytics packages and program development using Python, R, SAS, Matlab, C/C++/C# and Java etc.

(3) Strong background in data analytics (applied statistics, operation research, data mining, machine learning, artificial intelligence) and big data technologies.

(1) Master degree and above. Major in Computer Science, Information Management, Mechanical Engineering, Electrical Engineering or Industrial Engineering.

(2) Familiar with factory automation layout design and transport simulation.

(3) Familiar with development of C#, C/C++, Python, JAVA, PLC, OPC Programming.

(4) Familiar with AutoCAD, Database and SQL Programming, Machine Learning.

(1) Master's degree in Science, Electrical Engineering or related fields.

(2) Familiarity with Unix/C++/VBA, device physics and tool release procedure is preferred.

(1) Master's degree in a science-related field.

(2) Basic knowledge of semiconductors and processes related.

(1) Familiarity with semiconductor manufacturing and data analysis.

(2) Experience in 300mm Fab module operation is preferred.

(3) Conduct data analysis using Excel VBA and R.

(4) Ability to programming is preferred.